Pointblank Validation
QCheck for Contract Module

tibbleWARN 1 STOP NOTIFY
STEP COLUMNS VALUES TBL EVAL UNITS PASS FAIL W S N EXT

1
col_exists
 col_exists()

contract_id

1 1
1.00
0
0.00

2
col_exists
 col_exists()

worker_id

1 1
1.00
0
0.00

3
col_exists
 col_exists()

org_id

1 1
1.00
0
0.00

4
col_exists
 col_exists()

org_date

1 1
1.00
0
0.00

5
col_exists
 col_exists()

base_salary_lcu

1 1
1.00
0
0.00

6
col_exists
 col_exists()

gross_salary_lcu

1 1
1.00
0
0.00

7
col_exists
 col_exists()

net_salary_lcu

1 1
1.00
0
0.00

8
col_exists
 col_exists()

whours

1 1
1.00
0
0.00

9
col_exists
 col_exists()

country_code

1 1
1.00
0
0.00

10
col_exists
 col_exists()

start_date

1 1
1.00
0
0.00

11
col_exists
 col_exists()

end_date

1 1
1.00
0
0.00

12
rows_distinct
 rows_distinct()

contract_id, org_date

740K 740K
1.00
0
0.00

13
col_is_character
 col_is_character()

contract_id

1 1
1.00
0
0.00

14
col_is_character
 col_is_character()

worker_id

1 1
1.00
0
0.00

15
col_is_character
 col_is_character()

org_id

1 1
1.00
0
0.00

16
col_is_character
 col_is_character()

country_code

1 1
1.00
0
0.00

17
col_is_date
 col_is_date()

org_date

1 1
1.00
0
0.00

18
col_is_date
 col_is_date()

start_date

1 1
1.00
0
0.00

19
col_is_date
 col_is_date()

end_date

1 1
1.00
0
0.00

20
col_is_numeric
 col_is_numeric()

base_salary_lcu

1 1
1.00
0
0.00

21
col_is_numeric
 col_is_numeric()

gross_salary_lcu

1 1
1.00
0
0.00

22
col_is_numeric
 col_is_numeric()

net_salary_lcu

1 1
1.00
0
0.00

23
col_is_numeric
 col_is_numeric()

whours

1 1
1.00
0
0.00

24
col_vals_between
 col_vals_between()

base_salary_lcu

[−1,894.675, 5,650.485]

740K 472K
0.64
268K
0.36

25
col_vals_between
 col_vals_between()

gross_salary_lcu

[−2,507.2, 7,037.12]

740K 630K
0.85
111K
0.15

26
col_vals_between
 col_vals_between()

net_salary_lcu

[−2,277.33, 6,609.31]

740K 636K
0.86
104K
0.14

27
col_vals_lte
 col_vals_lte()

whours

60

740K 740K
1.00
0
0.00

28
col_vals_gte
 col_vals_gte()

whours

0

740K 740K
1.00
0
0.00

29
col_vals_regex
 col_vals_regex()

country_code

^[A-Z]{3}$

740K 740K
1.00
0
0.00
2025-08-06 17:01:57 EDT 9.0 s 2025-08-06 17:02:06 EDT